Algorithm Based on Multiple Features for Recognition of E.coli Promoter Region

Abstract:

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A promoter plays an important role in the transcription of DNA sequences; its recognition is very significant. This paper concerns about the problem of extracting information from a given DNA region and to make predictions whether it contains a promoter. We incorporate three types of information to access the significance of a promoter, information on content and information on structure, and then these information are used in a trained nonlinear classifier. The results show that our method performs well and achieve 13.4% average error rate on positive and negative data from non-coding regions and 17.0% average error rate on positive and negative data from coding regions.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

164-169

DOI:

10.4028/www.scientific.net/AMM.48-49.164

Citation:

W. Ao et al., "Algorithm Based on Multiple Features for Recognition of E.coli Promoter Region", Applied Mechanics and Materials, Vols. 48-49, pp. 164-169, 2011

Online since:

February 2011

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Price:

$35.00

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